Tracking AI Regulation Across Multiple Jurisdictions

The full executive answer

Two answers, because we do this for ourselves and as a product feature. For ourselves: we've engineered for regulation before enforcement dates rather than after. The EU AI Act is the sharpest example — our workforce-related modules may fall under Annex III high-risk classification, so we built a geo-gate that can restrict those specific modules for EU-located organisations with a single switch, before any regulator asked. The classification decision itself awaits formal counsel sign-off — we've deliberately not self-certified our way around a legal question — but the enforcement mechanism is already in the codebase, tested, defaulting to the conservative state. That's the pattern: build the switch early, let counsel decide when to flip it.

For you: regulatory intelligence is part of the product. The platform includes a regulatory-horizon capability that tracks AI-relevant regulatory change as structured data — jurisdictions, obligations, deadlines — feeding the same compliance workspace where your obligations register and evidence live. The jurisdiction catalogue already spans the EU AI Act, GDPR, India's DPDP Act, and sector frameworks, and because it's data-driven, adding a jurisdiction is a content update, not a re-engineering project.

The strategic honesty: no vendor can promise to pre-comply with rules that don't exist yet. What we can promise is architecture that makes compliance a configuration change more often than a rebuild — data-driven jurisdiction templates, module-level gating, provenance on every AI output — and a pre-launch company's agility: when the AI Act's general-purpose AI obligations crystallised, we adjusted in weeks, not fiscal years.